Exploring the Influencing Factors of Experienced Nurses' Retention Behaviour: A Qualitative Study Based on the COM‐B Model

Liebin Huang; Ming Liu; Angela Y. M. Leung; Jun‐E Zhang; Renli Deng; Hongxia Dai; Binbin He

doi:10.1111/jan.16611

journal article Nov 11, 2024

Exploring the Influencing Factors of Experienced Nurses' Retention Behaviour: A Qualitative Study Based on the COM‐B Model

Liebin Huang

Ming Liu

Angela Y. M. Leung Jun‐E Zhang

Renli Deng

Hongxia Dai

Binbin He

Journal of Advanced Nursing Vol. 81 No. 7 pp. 4122-4135 · Wiley

View at Publisher Save 10.1111/jan.16611

Abstract

ABSTRACTAimThe aim of this study was to explore the factors influencing the retention behaviour of experienced nurses in China, using the capability, opportunity, motivation and behaviour (COM‐B) model as a conceptual framework.DesignA qualitative descriptive study based on the COM‐B model.MethodsIn this qualitative descriptive study, semi‐structured interviews were conducted with 22 nurses across 11 cities in the Guangdong‐Hong Kong‐Macao Great Bay Area of China between March and May 2024. The interviews followed a predefined topic guide derived from the COM‐B model. The transcriptions of the interviews were then subjected to deductive thematic analysis.ResultsEleven key themes emerged, which were embedded in three categories of the COM‐B model, including capability (physical and mental health, professional knowledge and skills), motivation (increasing income, sense of fulfilment in nursing work, positive colleague relationships and job stability) and opportunity (management, career development opportunities, work–life balance, prejudice against nursing and workload).ConclusionsThe study provides new perspectives on factors influencing the retention of experienced nurses in Mainland China, Hong Kong and Macao. The study identified 11 factors that influence nurse retention behaviour, emphasising three distinctive perceptions: the ‘iron rice bowl’, the concept of filial piety and public prejudice towards nursing in Chinese society, which are unique to China compared to other nations. Additionally, it revealed similarities in nurse retention factors across Mainland China, Hong Kong and Macao.Implications for the ProfessionTo strengthen nurse retention, it is essential to develop tailored strategies for experienced nurses. Future research should also take social culture into account to enhance retention efforts.Reporting MethodThis study's reporting adhered to the Consolidated Criteria for Reporting Qualitative Studies (COREQ) checklist.Patient or Public ContributionNo patient or public contribution.

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Details

Published: Nov 11, 2024
Vol/Issue: 81(7)
Pages: 4122-4135
License: View

Authors

L

Liebin Huang

Faculty of Health Sciences and Sports Macao Polytechnic University Macao SAR China

M

Ming Liu

Peking University Health Science Center–Macao Polytechnic University Nursing Academy Macao Polytechnic University Macao SAR China

A

Angela Y. M. Leung

School of Nursing The Hong Kong Polytechnic University Hong Kong SAR China; WHO Collaborating Centre for Community Health Services The Hong Kong Polytechnic University Hong Kong SAR China; Research Institute of Smart Ageing (RISA) The Hong Kong Polytechnic University Hong Kong SAR China

J

Jun‐E Zhang

School of Nursing Sun Yat‐Sen University Guangzhou China

R

Renli Deng

Department of Nursing The Affiliated Hospital of Zunyi Medical University Zunyi China

H

Hongxia Dai

Peking University Health Science Center–Macao Polytechnic University Nursing Academy Macao Polytechnic University Macao SAR China

B

Binbin He

Emergency Department of Guangdong Provincial People's Hospital Guangzhou China

Cite This Article

Liebin Huang, Ming Liu, Angela Y. M. Leung, et al. (2024). Exploring the Influencing Factors of Experienced Nurses' Retention Behaviour: A Qualitative Study Based on the COM‐B Model. Journal of Advanced Nursing, 81(7), 4122-4135. https://doi.org/10.1111/jan.16611

Exploring the Influencing Factors of Experienced Nurses' Retention Behaviour: A Qualitative Study Based on the COM‐B Model

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